Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

GE HealthCare Breast Cancer AI

GE HealthCare debuts AI suite for early breast cancer detection

MyBreastAI integrates three AI applications designed to read mammograms and measure breast density.

December 1, 2023
Video interview with Michael Bruno, MD, FACR, on the growing radiology staffing shortage, way to address this, and the growing problem of exam mismatch. He spoke to Radiology Business Digital Editor Dave Fornell at RSNA 2023. #RSNA #RSNA23 #RSNA2023 #radiologistshortage

Mismatch between radiologist shortages, rising exam volumes a growing concern in medical imaging

Michael Bruno, MD, vice chair for quality and patient safety at the Penn State Milton S. Hershey Medical Center, discusses two hot topics at RSNA 2023. 

November 30, 2023
abdominal pain

RSNA announces winners of abdominal trauma AI challenge

The Radiological Society of North America's latest contest focused on the detection and classification of injuries in the abdomen. 

November 22, 2023
artificial intelligence AI deep learning ChatGPT OpenAI Microsoft Google

AI able to identify autism in children with 98.5% accuracy

The study's full results are set to be presented at the Radiological Society of North America annual meeting in Chicago later this month.

November 21, 2023
Arineta Cardio Imaging, a healthcare company based in Israel, gained clearance from the U.S. Food and Drug Administration (FDA) for the deep learning image reconstruction (DLIR) technology used in its SpotLight cardiovascular CT scanners. Arineta Cardio Imaging cardiovascular CT scanners AI.

FDA clears AI-powered image reconstruction technology for cardiac CT scanners

The new technology, trained using more than 3 billion data points, was designed to reduce image noise and improve the overall quality of CT scans. 

November 20, 2023
artificial intelligence AI heart cardiology

ChatGPT struggles with echocardiography, but still shows potential to help cardiology trainees

ChatGPT may not be quite ready to help prepare trainees for their next echocardiography exam—but it does show promise. 

November 16, 2023
Ultrasound cardiac echo patient being scanned with transducer in US2 AI booth ASE 2023.

Survey highlights portable ultrasound adoption trends, challenges

A poll of 150 physicians from vendor Exo reveals that despite the benefits of POCUS systems, adoption remains limited.

November 15, 2023
Lunit INSIGHT DBT

Lunit AI-powered 3D breast imaging receives FDA clearance

The product allows radiologists to zoom into breast cancer lesions and gather details on potential malignancy. 

November 14, 2023

Around the web

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

"I see, at least for the next decade, this being a SPECT and PET world, not one or the other," explained Tim Bateman, MD.

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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